{"id":"W6925328710","doi":"10.17605/osf.io/ucz9t","title":"Parents in Parliament Dataset","year":2021,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parliament; Government (linguistics); Work (physics); Legislation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005964143,0.001349802,0.001059814,0.005306949,0.002770162,0.00164279,0.00178638,0.00160689,0.04962345],"category_scores_gemma":[0.00375338,0.000502707,0.0009973514,0.007384267,0.0005240768,0.000599132,0.001645486,0.001311597,0.03191958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006262254,"about_ca_system_score_gemma":0.01505118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8595085,"about_ca_topic_score_gemma":0.9352711,"domain_scores_codex":[0.9990448,0.0001076665,0.00004647163,0.0001501823,0.0003183598,0.0003324989],"domain_scores_gemma":[0.9979736,0.0002761049,0.0001196205,0.0002093921,0.001014703,0.0004066494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007852806,0.00002897572,0.004183572,0.0001861905,0.000034135,0.00007123462,0.0001661531,0.0002309224,0.0001532339,0.0006334872,0.9898414,0.004392201],"study_design_scores_gemma":[0.00008749973,0.00001257776,0.04633825,0.0001378794,0.00004536419,0.00006946365,0.0008370323,0.0005074009,0.0003914908,0.000323253,0.9512159,0.00003388463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001879312,0.0001045588,0.00005142418,0.0001320372,0.0000277881,0.00003566257,0.9948999,0.0001555007,0.002713671],"genre_scores_gemma":[0.003681815,0.00009914361,0.0002486414,0.0000838682,0.00001537091,0.0001117244,0.9889029,0.00005690403,0.006799634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8595085,"threshold_uncertainty_score":0.2826378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04116252127192363,"score_gpt":0.3605998412627025,"score_spread":0.3194373199907788,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}